MANAGEMENT INFORMATION SYSTEMS
MANAGEMENT INFORMATION SYSTEMS
15th Edition
ISBN: 9780134640037
Author: LAUDON
Publisher: PEARSON
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Chapter 6, Problem 3RQ

Explanation of Solution

Big data

  • Big data describes datasets with huge volumes that are beyond the ability of typical database management system to capture, store, and analyze.
  • Big data includes structured and unstructured data captured from web traffic, email messages, and social media content like tweets and status messages.
  • It also includes machine-generated data from sensors.

Technologies for managing and analyzing big data

The three main technologies for managing and analyzing big data include:

Hadoop

  • Hadoop is an open-source software framework that enables distributed parallel processing of huge amounts of data across inexpensive computers.
  • The software breaks huge problems into smaller ones, processes each one on a distributed network of smaller computers, and then combines the results into a smaller data set that is easier to analyze...

Explanation of Solution

Components of a business intelligence infrastructure

  • Business intelligence (BI) infrastructure includes an array of tools for obtaining useful information from all the different types of data used by businesses today, including semi-structure and unstructured big data in vast quantities.
  • Data warehouses, data marts, Hadoop, in-memory processing, and analytical platforms are the components included in business intelligence infrastructure...

Explanation of Solution

Capabilities of online analytical processing

  • Online Analytical Processing (OLAP) represents relationships among data as a multidimensional structure, which can be visualized as cubes of data and cubes within cubes of data, enabling more sophisticated data analysis...

Explanation of Solution

Data mining

  • Data mining is the process of sorting through large data sets for identifying patterns and establishing relationships.
  • Data is mined in order to solve problems through data analysis.
  • Data mining tools are used to allow enterprises for predicting future trends.

Data mining and Online Analytical Processing (OLAP)

  • Data mining provides insights into corporate data that cannot be obtained with OLAP...

Explanation of Solution

Text mining and web mining from conventional data mining

  • Conventional data mining focuses on data that have been structured in databases and files.
  • Text mining concentrates on finding patterns and trends in unstructured data contained in text files.
  • The data may be in email, memos, call center transcripts, survey responses, legal cases, patent descriptions, and service reports...

Explanation of Solution

Users accessing information from internal database

  • Conventional databases can be linked by middleware to the web or a web interface to facilitate user access to an organization’s internal data.
  • Web browser software on a client personal computer is used to access a corporate web site over the Internet.
  • The web browser software requests data from the organization’s database using Hypertext Mark-up Language (HTML) commands to communicate with the web server...

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